Researcher-AI Agents

About the Team

Founded in 2012 the Noahs Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The labs mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful long-term projects the aim is to enhance state-of-the-art research while integrating innovations into the companys products and services including LLMs RL NLP computer vision AI theory and Autonomous driving.

About the job

• Conduct research on AI agents LLMs VLMs code generation and multimodal AI with a focus on novel and impactful research problems.

• Design and develop GUI agents and coding agents for web mobile and computer-use environments.

• Develop and investigate new approaches for SFT reinforcement learning agent training tool use and function calling.

• Build research prototypes datasets training pipelines benchmarks and evaluation frameworks to validate new ideas.

• Conduct rigorous experiments and analyze results to advance the state of the art.

• Collaborate with researchers and engineers to translate research ideas into practical systems and technologies.

• Publish research findings in top-tier conferences and journals and communicate results through technical presentations and publications.

• Translate research ideas and prototypes into practical product-ready technologies working closely with engineering and product teams.

The targeted annual total compensation for this position ranges from $127000 to $225000 depending on education experience and demonstrated expertise.

About the ideal candidate:

• A Ph.D. in Computer Science Electrical and Computer Engineering Machine Learning or a related field or equivalent research experience.

• Strong background in one or more areas including LLMs VLMs multimodal learning reinforcement learning generative AI code generation AI agents computer vision NLP.

• LLM/VLM SFT reinforcement learning RLHF/RLVR preference optimization or other post-training techniques.

• GUI agents web agents computer-use agents or mobile agents.

• Strong programming and implementation skills particularly in Python with hands-on experience using modern deep learning frameworks such as PyTorch.

• Strong research ability including problem formulation algorithm design experimental evaluation and technical analysis.

• Ability to independently identify promising research directions and turn ideas into working prototypes and experimental results.

• Strong communication and collaboration skills.

• Publications in venues such as NeurIPS ICML ICLR CVPR ICCV ECCV ACL EMNLP AAAI or related top-tier venues.

• Agentic systems tool use function calling MCP or multi-step planning.

• Code generation coding agents program synthesis or software engineering agents.

• UI code generation or automated web/application development.

• Web technologies and browser automation such as HTML CSS JavaScript DOM Playwright or browser APIs.

• Large-scale data generation synthetic data trajectory collection or agent training.

• Model distillation efficient inference particularly for small/edge models.

• Experience with distributed training and large-scale GPU systems.

Huawei Canada is committed to a fair inclusive and accessible recruitment process. If you require accommodation during any stage of the hiring process please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team we do not use artificial intelligence tools to screen or select candidates.